Daniel Kifer
Professor of Computer Science & Engineering
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W333 Westgate
University Park, PA - duk17@psu.edu
- 814-863-1187
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Learning Convolutional Neural Networks Deep Learning Soil Moisture Travel Time Semantics Neural Networks Simulation Neurons Hydrology Big Data Moisture Time Series Pixels Carbon Convolution Prolongation Injections Science Coding Image Compression Landslide Pressure Crime PhysicsMost Recent Publications
The neural coding framework for learning generative models
Alexander Ororbia, Daniel Kifer, 2022, Nature Communications
Constructing a Large-Scale Landslide Database Across Heterogeneous Environments Using Task-Specific Model Updates
S. Nagendra, Daniel Kifer, S. Manjunatha, Benjamin Mirus, Kathryn Lawson, D Kifer, T. Pei, Daniel Kifer, W. Li, Kathryn Lawson, Te Pei, Srikanth Banagere Manjunatha, Benjamin Mirus, K. Lawson, H. Nguyen, Weixin Li Li, Hien Nguyen, Tong Qiu, S. Tran, T Qiu, Chaopeng Shen, C Shen, Sarah Tran, Chaopeng Shen, 2022, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing on p. 4349-4370
The 2020 census disclosure avoidance system TopDown algorithm.
John Abowd, Robert Ashmead, Ryan Cumings-Menon, Simson Garfinkel, Micah Heineck, Christine Heiss, Robert Johns, Daniel Kifer, Philip Leclerc, Ashwin Machanavajjhala, Brett Moran, William Sexton, Matthew Spence, Pavel Zhuravlev, 2022, Harvard Data Science Review
Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder
Ankur Mali, Alexander Ororbia, II, Alexander Ororbia, Daniel Kifer, Clyde Giles, 2022, CoRR on p. 471
Free gap estimates from the exponential mechanism, sparse vector, noisy max and related algorithms
Zeyu Ding, Yuxin Wang, Wang Yuxin, Yingtai Xiao, Guanhong Wang, Danfeng Zhang, D Kifer, Daniel Kifer, 2022, VLDB Journal on p. 23-48
DPGen: Automated Program Synthesis for Differential Privacy
Yuxin Wang, Zeyu DIng, Yingtai Xiao, Daniel Kifer, Danfeng Zhang, 2021, on p. 393-411
Physics-informed deep learning for prediction of CO<sub>2</sub> storage site response
Parisa Shokouhi, Vikas Kumar, Sumedha Prathipati, Seyyed A. Hosseini, Clyde Lee Giles, Daniel Kifer, 2021, Journal of Contaminant Hydrology
Omnilayout: Room layout reconstruction from indoor spherical panoramas
Shivansh Rao, Vikas Kumar, Daniel Kifer, C. Lee Giles, Ankur Mali, 2021, on p. 3701-3710
The Data Synergy Effects of Time-Series Deep Learning Models in Hydrology
Kuai Fang, Daniel Kifer, Kathryn Lawson, Dapeng Feng, Chaopeng Shen, 2021, Water Resources Research
An Empirical Analysis of Recurrent Learning Algorithms in Neural Lossy Image Compression Systems
Ankur Mali, Alexander Ororbia, Dan Kifer, Clyde Giles, 2021, CoRR on p. 356
Most-Cited Papers
Pufferfish: A framework for mathematical privacy definitions
Daniel Kifer, Ashwin Machanavajjhala, 2014, ACM Transactions on Database Systems
Prolongation of SMAP to Spatiotemporally Seamless Coverage of Continental U.S. Using a Deep Learning Neural Network
Kuai Fang, Chaopeng Shen, Daniel Kifer, Xiao Yang, 2017, Geophysical Research Letters on p. 11,030-11,039
HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community
Chaopeng Shen, Eric Laloy, Amin Elshorbagy, Adrian Albert, Jerad Bales, Fi John Chang, Sangram Ganguly, Kuo Lin Hsu, Daniel Kifer, Zheng Fang, Kuai Fang, Dongfeng Li, Xiaodong Li, Wen Ping Tsai, 2018, Hydrology and Earth System Sciences on p. 5639-5656
Learning to extract semantic structure from documents using multimodal fully convolutional neural networks
Xiao Yang, Ersin Yumer, Paul Asente, Mike Kraley, Daniel Kifer, Clyde Giles, 2017, on p. 4342–4351
Crime rate inference with big data
Hongjian Wang, Daniel Kifer, Corina Graif, Zhenhui Li, 2016, on p. 635-644
Learning to read irregular text with attention mechanisms
Xiao Yang, Dafang He, Zihan Zhou, Daniel Kifer, C. Lee Giles, 2017, on p. 3280-3286
A Simple Baseline for Travel Time Estimation using Large-scale Trip Data
Hongjian Wang, Xianfeng Tang, Yu Hsuan Kuo, Daniel Kifer, Zhenhui Li, 2019, ACM Transactions on Intelligent Systems and Technology
Multi-Scale Multi-Task FCN for Semantic Page Segmentation and Table Detection
Dafang He, Scott Cohen, Brian Price, Daniel Kifer, C. Lee Giles, 2017, on p. 254-261
Multi-scale FCN with cascaded instance aware segmentation for arbitrary oriented word spotting in the wild
Dafang He, Xiao Yang, Chen Liang, Zihan Zhou, Alex G. Ororbia, Daniel Kifer, C. Lee Giles, 2017, on p. 474-483
Concentrated differentially private gradient descent with adaptive per-iteration privacy budget
Jaewoo Lee, Daniel Kifer, 2018, on p. 1656-1665